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5+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
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This is an individual contributor role focused on development of new machine learning and artificial intelligence products that power search, recommendations, and personalization decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching hundreds of millions of users every month.
$155,000 - $233,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. Invenex Search is partnered with a global oncology biopharma client with a market cap north of $20B, focused on antibody therapeutics for cancer.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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Mines and extracts data and applies statistics, machine learning, and deep learning necessary to derive insights and develop solutions on enterprise-scale providing a competitive advantage.
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Familiarity with AI frameworks; such as TensorFlow, PyTorch; and machine learning models is a requirement. You are a seasoned Artificial Intelligence engineer diving into the development of data models, bot creation, root behavior data analysis, search functions, and new technologies and domains.
$150,000 - $350,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Meta is seeking Machine Learning Engineers to join our engineering team. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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The College of Arts, Media, and Design welcomes candidates with expertise in the following areas: algorithmic justice; ethical and social implications of AI and HCI; misinformation and decline of shared information environments; social media and global media platforms; election meddling; injustice and lack of accountability in machine learning systems; online harassment and erosion of the public sphere; gig economy and digital labor.
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Experience in data modelling using HANA Studio, ABAP Development Tools (ADT), Code Performance Rules and Guidelines for SAP HANA, ADBC, Native SQL, ABAP Core data Services, Database Procedures, Text Search, ALV on HANA, and HANA Live models consumption.
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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
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Experience with machine learning and natural language processing and hands-on experience with clustering models, and recommendation models amongst othersExperience with vector databases, embeddings, semantic and lexical retrieval techniques, metadata extraction, and enrichmentThis is a hands-on role and requires a builder mindset – design, develop and deploy.
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